DOI QR코드

DOI QR Code

Coupling vibration response analysis of wind-train-bridge system considering the train-induced wind effect

  • Wang, Yujing (School of traffic engineering, Shandong Jianzhu University) ;
  • Guo, Weiwei (School of Civil Engineering, Beijing Jiaotong University) ;
  • Xia, He (School of Civil Engineering, Beijing Jiaotong University) ;
  • Wang, Shanshan (Shandong Hi-speed Group Co., Ltd.) ;
  • Xu, Man (Central Research Institute of Building and Construction CO., LTD. MCC)
  • 투고 : 2021.03.23
  • 심사 : 2021.09.19
  • 발행 : 2021.09.25

초록

Considering the wind loads and track irregularity as external excitation, the wind-train-bridge dynamic analysis model considering the longitudinal freedom of train is established in the present study. In the model, the wind load of train-bridge system under the train-induced wind field and the combined wind field is obtained by employing Computational Fluid Dynamics (CFD) method. With the CRH2 high-speed train and a 10-span simply-supported box girder bridge as an example, the whole history of the train running on the bridge under the combined effect of train-induced wind and crosswind is simulated to analyze the dynamic response of the train-bridge system. In addition, the operational safety indicators of the train are evaluated. According to the obtained results, the dynamic response of vehicles and bridges increases with the train speed without the consideration of the crosswind. In the combined wind field, the train-induced wind exerts a greater impact on the dynamic response of the vehicle, but has a less influence on that of the bridge simultaneously. Moreover, the influence of wind velocity is greater than that of train speed. When the wind-train-bridge dynamic response analysis is carried out based on traditional methods, the calculated wind load of the train-bridge system is too high, making the calculated responses too large to be consistent with actual values.

키워드

과제정보

The authors are grateful for the Doctoral Fund Project (Grant NO.X20024Z), the National Science Foundation of China (51878036, 52008412), the Science and Technology Project of Shandong Provincial Department of Transportation (2020B69) and the financial support of Shandong Co-Innovation Center for Disaster Prevention and Mitigation of Civil Structures (XTM201904).

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